Applied Research Of Magnetorheological Fluid Dampers In The Vibration Control Of Structures

MR Damper is a kind of smart damper with large-force, rapid-response and low energy consummation. The corresponding algorithm should be accurate and have satisfied control result. Through computing results, neural network (NN) PID control has been proved meeting the requirement. In this dissertation, theoretical and numerical simulation studies have been conducted about structure vibration control with MR dampers, wire rope isolators and neural network PID control strategy.Firstly, based on the analysis to the ingredients and essential characteristics of MR fluid, damping force model for shear-valve MR damper is deducted theoretically by using Bingham Fluid Theory. The influence of variety of interspaces between the piston of MR damper and the cylinder to the performance of MR damper is analyzed. The feasibility and validity of MR damper used in high-speed shocking environments are testified.Secondly, the mechanical model of basement of shipping power devices is deducted. The numerical simulations of dynamic characteristics of structure system are conducted. The numerical results show that the dynamic characteristics of structure system using MR dampers have been promoted dramatically.Thirdly, through FEA analysis of wire rope isolators, the influence of variety of shapes to the effective stiffness of wire rope isolators is discussed detailedly. A kind of model type of wire rope isolators is chosen according to the experiment requirements.Fourthly, the recognition of system dynamical characteristics is deducted using back propagation neural networks. The numerical simulations of vibration controls of basement of shipping power devices using neural network PID strategy arecarried out. The numerical simulation results show that it have obvious effects on structure vibration controls using this control strategy under different input forces.